Software Engineering Manager, Product

The Meta Game, Inc.
New York, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 257K

Job location

New York, United States of America

Tech stack

Artificial Intelligence
Software Engineering
Web Applications
Information Technology
Api Design
Network Server

Job description

Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As an engineering manager you will support, enable and empower your team, managing high performing engineers to make a meaningful impact on billions of people around the world. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility., 1. Lead and manage a team of software engineers to deliver high-quality products and solutions

  1. Collaborate with cross-functional teams to drive technical innovation
  2. Develop and implement technical strategies to achieve business objectives
  3. Foster an environment of continuous learning, growth, and improvement

Requirements

  1. Experience supporting, coaching, mentoring, and developing software engineers
  2. 8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management
  3. 2+ years of experience in managing a team of engineers with varied skill levels
  4. Bachelor of Science/Masters in Computer Science or equivalent practical experience
  5. Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management, 1. Hands-on technical manager with experience building holistic web based software solution, API design, and interactions between servers and clients
  6. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  7. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  8. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  9. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  10. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  11. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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